Simplified Voxel Based Visualization

Voxel-based Analysis and Visualization of Rainfall Data

The remote sensing of hydrologic variables such as rainfall, soil moisture and streamflow is becoming increasingly more important as we strive to improve our understanding of the earth’s climate. Because these variables change more rapidly than other land cover characteristics, a high frequency of image acquisition is required. This in turn results in a large volume of data that must be compare...

Image-Based Edge Bundles: Simplified Visualization of Large Graphs

We present a new approach aimed at understanding the structure of connections in edge-bundling layouts. We combine the advantages of edge bundles with a bundle-centric simplified visual representation of a graph’s structure. For this, we first compute a hierarchical edge clustering of a given graph layout which groups similar edges together. Next, we render clusters at a user-selected level of ...

Medical Volume Visualization Beyond Single Voxel Values

Visualization of Large Rle-encoded Voxel Volumes

We present a method for visualizing large voxel volumes based on optimized ray-casting. Other than conventional methods casting a ray for each pixel on the screen, our method only casts one ray per column and then traverses the voxel volume in a front to back manner. This can be done efficiently as our data is encoded by run-length-encoding (RLE), reducing the overall cost for the traversal. To...

Patch-type Segmentation of Voxel Shapes using Simplified Surface Skeletons

We present a new method for decomposing a 3D voxel shape into disjoint segments using the shape’s simplified surface-skeleton. The surface skeleton of a shape consists of 2D manifolds inside its volume. Each skeleton point has a maximally inscribed ball that touches the boundary in at least two contact points. A key observation is that the boundaries of the simplified foreand background skeleto...